• Aditi Palange
• Aditya Pawar

This study leverages machine learning to intelligently recommend personalized workout schedules, aiming to prevent users from engaging in inappropriate exercises, thereby reducing the risk of injuries and optimizing workout effectiveness. By suggesting exercises tailored to individual body types and health conditions, the system facilitates efficient and effective workouts, leading to quicker results with minimal time and effort. This approach benefits users across diverse demographics, including men, women, bodybuilders, athletes, and experts, saving both time and money while promoting overall health and fitness.

Machine learning, workout recommendation, smart workout recommendation system, workout suggestion, prevent injuries, bodybuilding, workout

"ML Based Smart Workout Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.j146-j154, May-2024, Available :http://www.jetir.org/papers/JETIR2405918.pdf

"ML Based Smart Workout Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppj146-j154, May-2024, Available at : http://www.jetir.org/papers/JETIR2405918.pdf